ryo-ngked/data-science-training-2025
Aug 2025 – Aug 2025
1 Month active
Languages Used
JSONJupyter NotebookMarkdownPython
Technical Skills
Algorithmic ThinkingBooleansCharacter EncodingsConditional StatementsConditionalsData Analysis
JannahM013093
PROFILE
Jannahm013093
Worked on bootstrapping the ryo-ngked/data-science-training-2025 repository, establishing the foundational structure and initial assets to support a new data science training project. Focused on creating a reproducible environment by organizing project scaffolding, importing essential assets, and updating onboarding documentation to streamline future collaboration. Leveraged Python, Jupyter Notebooks, and Pandas to set up the technical baseline, emphasizing clear documentation and disciplined repository organization. No bug fixes were required during this period, as the primary goal was to enable rapid experimentation and smooth onboarding for new contributors, laying the groundwork for efficient development and maintainability in subsequent project phases.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
25Total
Bugs
0
Commits
25
Features
3
Lines of code
2
Activity Months1
Your Network
20 peopleWork History
August 2025
25 Commits • 3 Features
Aug 1, 2025August 2025 — Data-science-training project bootstrap and documentation. Delivered a solid baseline by establishing scaffolding, initial assets, and skeleton structure for the ryo-ngked/data-science-training-2025 repository. Focused on repository bootstrap, asset imports, and onboarding documentation to accelerate future development and collaboration. No major bugs fixed this month; emphasis was on setup, reproducibility, and enabling rapid value delivery in subsequent sprints.
25 Commits • 3 Features
Aug 1, 2025August 2025 — Data-science-training project bootstrap and documentation. Delivered a solid baseline by establishing scaffolding, initial assets, and skeleton structure for the ryo-ngked/data-science-training-2025 repository. Focused on repository bootstrap, asset imports, and onboarding documentation to accelerate future development and collaboration. No major bugs fixed this month; emphasis was on setup, reproducibility, and enabling rapid value delivery in subsequent sprints.
August 2025
Activity
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Quality Metrics
Correctness96.4%
Maintainability96.0%
Architecture95.2%
Performance96.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONJupyter NotebookMarkdownPython
Technical Skills
Algorithmic ThinkingBooleansCharacter EncodingsConditional StatementsConditionalsData AnalysisData CleaningData ParsingData ScienceData Science TrainingData TypesData VisualizationData WranglingDocumentationFuzzyWuzzy
Repositories Contributed To
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